Topic outline

  • Summary

    Research Data Management (RDM) covers the planning, creating, storing, organizing, accessing, sharing, describing, publishing and curating of data. RDM is mandated by many funding agencies and increasingly by governments to provide access to funded research results.
    The management of data, particularly large-scale data, has many challenges, and the roles of researchers, facilities that manage marine data, repositories and libraries are coming together to provide access, preservation and archive of this data and the scholarly products associated with it.

    Learning Outcomes

    • Understand the importance of maintaining integrity (accuracy and completeness) of data.
    • Develop skills in writing and implementing a (Research) Data Management Plan, including those associated with Funding agency requirements and mandates.
    • Gain knowledge of the terminology of Open Access and Open Data as it applies to Research Data Management.
    • Advance knowledge in the current landscape of Research Data Management, and internationally organized efforts to develop standards and tools in this field.
    • Recognize the importance of good research data management practice.
    • Knowledge of the data publishing and citation process.
    • Access to European marine data repositories.
    • Awareness of main European based marine research projects (e.g. EMODNET, SeaDataCloud, etc.)

    Course Topics

    • Overview of Research Data
    • Open Data
    • Research Data and publication lifecycles
    • Data organization and standards
    • Data Management Plan
    • Organizing Research Data
    • Making Data available
    • Accessing Research Data
    • Overview of European Marine Projects
    • End user point of view of the use of metadata for data integration

    Target Audience

    • marine researchers
    • postgraduate students (MSc and PhD students);
    • repository managers (data and/or documents);
    • marine data librarians;



    Course Pre-requisites

    • Interest or new responsibilities in working with marine data and/or information
    • Need to bring own laptop
    • Working knowledge of English.

    Event details on IOC Calendar (including list of participants)

    • Introduction and welcome

      • FAIR Data

        Stefanie Dekeyzer (VLIZ)

        • Storage and Processing collected data (underway and station data)

          Jonas Mortelmans (VLIZ)

          • Open Science Data

            Greg Reed (IOC)

            Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike. The two following presentations will discuss: (i) What is Open Data, Data accessibility and(ii) Ethics, copyright, licensing, Open data policies

            • EMODnet

              Kate Larkin, Nathalie Tonné & Tim Collart (EMODnet)

              The European Marine Observation and Data Network (EMODnet) is a long-term marine data initiative, launched by Directorate General for Maritime Affairs and Fisheries (DG MARE) and funded by the European Maritime and Fisheries Fund (EMFF). EMODnet connects over 150 organisations across Europe, who are working together to collect data across seven themes and process them according to international standards. This information is then made freely available as interoperable data layers and data products as well as through web services. In this course, we will introduce EMODnet and its seven thematic portals: what is on offer and how to access the data.

              A lot of data still remain hidden and unavailable for further purposes. To find the remaining puzzle pieces the EMODnet Data Ingestion Portal (DIP) was launched in February 2017, who reaches out to additional data providers. Open marine data increases the productivity of those working on marine issues, stimulates innovation in blue economy, and reduces the uncertainty in our knowledge of the behaviour of the sea.

              • Relational Databases

                Tim Deprez (UGent)

                This part of the course will cover the following subjects:

                • General intro to what databases are and why and how they can be used
                • The basic elements of databases
                • Design principles
                • How to edit and interrogate databases

                Exercised will include:

                • Designing your own database
                • Queries on existing databases
                • Biological Related Data Portals

                   Tim Deprez (UGent)

                  • Students' Projects